using OneCaps.Core.Interfaces;
using OneCaps.Core.Models;
using System.Drawing;

namespace OneCaps.LicensePlateRecognition.Services
{
    /// <summary>
    /// 基于OpenCV和Tesseract的车牌识别服务实现（结构示例）
    /// </summary>
    public class OpenCvLicensePlateRecognitionService : ILicensePlateRecognitionService
    {
        public Task<LicensePlateRecognitionResult> RecognizeAsync(byte[] imageData)
        {
            // 1. 使用OpenCV进行车牌定位（伪代码/结构）
            // 2. 使用Tesseract进行字符识别（伪代码/结构）
            // 这里只做结构示例，实际可用Emgu.CV、Tesseract等库

            // TODO: 实际实现请集成Emgu.CV和Tesseract.Net
            // var plateRect = DetectPlateByOpenCv(imageData);
            // var plateText = RecognizePlateByTesseract(plateImage);

            // 这里只返回模拟结果
            return Task.FromResult(new LicensePlateRecognitionResult
            {
                IsSuccess = true,
                LicensePlate = "京A88888",
                Confidence = 0.95,
                ProcessingTimeMs = 120,
                PlateType = LicensePlateType.Normal,
                PlateColor = "蓝色",
                Location = new LicensePlateLocation { X = 100, Y = 200, Width = 180, Height = 40 }
            });
        }

        public Task<LicensePlateRecognitionResult> RecognizeFromFileAsync(string imagePath)
        {
            // 读取文件为byte[]
            var imageData = File.ReadAllBytes(imagePath);
            return RecognizeAsync(imageData);
        }

        public Task<IEnumerable<LicensePlateRecognitionResult>> RecognizeBatchAsync(IEnumerable<byte[]> imageDataList)
        {
            var results = imageDataList.Select(_ => new LicensePlateRecognitionResult
            {
                IsSuccess = true,
                LicensePlate = "京A88888",
                Confidence = 0.95,
                ProcessingTimeMs = 120,
                PlateType = LicensePlateType.Normal,
                PlateColor = "蓝色",
                Location = new LicensePlateLocation { X = 100, Y = 200, Width = 180, Height = 40 }
            });
            return Task.FromResult(results);
        }

        public bool ValidateLicensePlate(string licensePlate)
        {
            try { var lp = new LicensePlate(licensePlate); return true; } catch { return false; }
        }

        public Task<RecognitionServiceStatus> GetServiceStatusAsync()
        {
            return Task.FromResult(new RecognitionServiceStatus
            {
                IsAvailable = true,
                Version = "OpenCV+Tesseract 1.0",
                ModelVersion = "v1",
                AverageProcessingTimeMs = 120,
                SuccessRate = 0.98,
                LastUpdateTime = DateTime.Now
            });
        }
    }
} 